image_feature_extraction
yolo-tf2
| image_feature_extraction | yolo-tf2 | |
|---|---|---|
| 1 | 1 | |
| 0 | 747 | |
| - | - | |
| 0.0 | 7.6 | |
| almost 3 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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image_feature_extraction
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Class or Functions?
It’s a little of both. You can check out https://github.com/giakou4/image_feature_extraction Each way I approach the issue, both ways seem correct to me. Classes seem a good way to organise but functions are easy for debugging.
yolo-tf2
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How to write a resume for python / ML jobs?
my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...
What are some alternatives?
fishington.io-bot - Fishington.io bot with OpenCV and NumPy
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
eulerian-remote-heartrate-detection - Remote heart rate detection through Eulerian magnification of face videos
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
GPT4RoI - GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries
pykaldi - A Python wrapper for Kaldi
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
Fast-Poisson-Image-Editing - A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀